For vanilla MViT [1]}, class token embedding performs better than the pooling operation. For both methods, simply adding global embedding has a minor influence on the overall performance (\(-0.2\%\)  on top1 accuracy, \(-0.5\%\)  on top5 accuracy and \(+1.32\%\)  on mean class accuracy while using the class token, and \(-0.39\%\) , on top1 accuracy, \(-0.19\%\)  on top5 accuracy and \(-1.19\%\)  on mean class accuracy while using pooling layer). This result suggests that simply adding global context as an additional token has minor influence on the action recognition performance.
